Abe Support Vector Machines for Pattern Classification
1. Auflage 2005
ISBN: 978-1-84628-219-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 344 Seiten, Web PDF
Reihe: Computer Science (R0)
ISBN: 978-1-84628-219-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Support Vector Machines are popular because of their high classification importance; this is the first book to focus the discussions on SVMs specifically to pattern classification.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Two-Class Support Vector Machines.- Multiclass Support Vector Machines.- Variants of Support Vector Machines.- Training Methods.- Feature Selection and Extraction.- Clustering.- Kernel-Based Methods.- Maximum-Margin Multilayer Neural Networks.- Maximum-Margin Fuzzy Classifiers.- Function Approximation.




